A data visualization and analysis on US labor economy.
The following dataset is manually collected from Federal Reserve Economic Data (https://fred.stlouisfed.org/), containing a total of 1021 observations regarding the US minimum wage, unemployment rate, and real GDP etc.

The first visualization aims to find a relationship between the minimum wage (in 2020 US dollars, inflation adjusted) and unemployment rate. A linear regression line is drawn on the scatterplot. The equation and R-squared statistic is shown at the upper-right position of the plot. The linear regression analysis suggested that there is a positive relationship between the minimum wage and unemployment rate. That is, an increase in the minimum wage may increase unemployment rate.
The second visualization is also a scatterplot between the real GDP per capita and average hourly wage on 50 US states plus District of Columbia. Each dot has a unique color that represents a US state/region. The size of the dot represents the resident population of that state. In addition, a time slider is available for user interaction. This time slider can let users to choose the year between 2001 and 2020. Users can also click the Play button to check out the animation of the plot.
The third visualization is a time series of 2 variables: Percentage labor force participation and the percentage unemployment rate in US as a whole nation. Users can interact the graph by clicking on the graph itself. At the top-right of the graph, there is a line of colored text showing the month and year you are currently clicking on, and its corresponding labor participation rate and unemployment rate to that particular month and year. Users can also use the slider range controls at the bottom to adjust the month year range, that is, to enlarge or shrink the graph.
